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CC1
AMUNDI MSCI CHINA TECH ESG SCREENED UCITS ETF EUR ACC
CC1
Euronext Milan
CC1
Euronext Milan
CC1
Euronext Milan
CC1
Euronext Milan
Market closed
Market closed
No trades
See on Supercharts
Overview
Analysis
Discussions
Technicals
Seasonals
CC1
chart
Price
NAV
More
Full chart
1 day
1.04%
5 days
−4.29%
1 month
−4.39%
6 months
16.52%
Year to date
−0.03%
1 year
13.43%
5 years
−19.43%
All time
16.26%
Key stats
Assets under management (AUM)
50.42 M
EUR
Fund flows (1Y)
5.97 M
EUR
Dividend yield (indicated)
—
Discount/Premium to NAV
−0.6%
About AMUNDI MSCI CHINA TECH ESG SCREENED UCITS ETF EUR ACC
Issuer
SAS Rue la Boétie
Brand
Amundi
Expense ratio
0.55%
Home page
amundietf.se
Inception date
Apr 18, 2018
Index tracked
MSCI China H Index
Management style
Passive
ISIN
LU1681043912
To track the performance of MSCI China H Index (the Index), and to minimize the tracking err between the net asset value of the sub-fund and the performance of the Index.
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Classification
Asset Class
Equity
Category
Size and style
Focus
Total market
Niche
Broad-based
Strategy
ESG
Weighting scheme
Market value
Selection criteria
Principles-based
CC1
analysis
What's in the fund
Exposure type
Stocks
Technology Services
Electronic Technology
Producer Manufacturing
Stock breakdown by region
6%
93%
Technicals
Summarizing what the indicators are
suggesting.
Oscillators
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Oscillators
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Summary
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Summary
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Summary
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Moving Averages
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Moving Averages
Neutral
Sell
Buy
Strong sell
Strong buy
Strong sell
Sell
Neutral
Buy
Strong buy
Seasonals
Displays a symbol's price movements over previous years to identify recurring trends.